Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network [0.03%]
基于GWAS选择的SNV和卷积神经网络的精神分裂症分类的人工图像对象
Xiangning Chen,Daniel G Chen,Zhongming Zhao et al.
Xiangning Chen et al.
In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classi...
Xiaopeng Tang,Kailong Liu,Kang Li et al.
Xiaopeng Tang et al.
Batteries are crucial for building a clean and sustainable society, and their performance is highly affected by aging status. Reliable battery health assessment, however, is currently restrained by limited access to sufficient aging data, r...
Interpretable systems biomarkers predict response to immune-checkpoint inhibitors [0.03%]
可解释的系统生物标志物预测免疫检查点抑制剂的疗效
Óscar Lapuente-Santana,Maisa van Genderen,Peter A J Hilbers et al.
Óscar Lapuente-Santana et al.
Cancer cells can leverage several cell-intrinsic and -extrinsic mechanisms to escape immune system recognition. The inherent complexity of the tumor microenvironment, with its multicellular and dynamic nature, poses great challenges for the...
Erratum: On the role of artificial intelligence in medical imaging of COVID-19 [0.03%]
有关人工智能在COVID-19医学影像中作用的刊载说明
Jannis Born,David Beymer,Deepta Rajan et al.
Jannis Born et al.
[This corrects the article DOI: 10.1016/j.patter.2021.100269.]. © 2021 The Authors.
Published Erratum
Patterns (New York, N.Y.). 2021 Aug 13;2(8):100330. DOI:10.1016/j.patter.2021.100330 2021
Jon Zelner,Julien Riou,Ruth Etzioni et al.
Jon Zelner et al.
We discuss several issues of statistical design, data collection, analysis, communication, and decision-making that have arisen in recent and ongoing coronavirus studies, focusing on tools for assessment and propagation of uncertainty. This...
Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic [0.03%]
用于评估传染病对经济影响的数据分析：以COVID-19大流行为例的案例研究
Meleik Hyman,Calvin Mark,Ahmed Imteaj et al.
Meleik Hyman et al.
SARS-CoV-2 (COVID-19) is a new strain of coronavirus that is regarded as a respiratory disease and is transmittable among humans. At present, the disease has caused a pandemic, and COVID-19 cases are ballooning out of control. The impact of...
Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States [0.03%]
美国州一级的新冠肺炎政策干预措施与疫情变化转折点之间的时滞关系
Tanujit Dey,Jaechoul Lee,Sounak Chakraborty et al.
Tanujit Dey et al.
State-level policy interventions have been critical in managing the spread of the new coronavirus. Here, we study the lag time between policy interventions and change in COVID-19 outcome trajectory in the United States. We develop a stepwis...
Hydrogen storage in MOFs: Machine learning for finding a needle in a haystack [0.03%]
金属有机框架中的氢存储：用机器学习寻找大海捞针般理想的材料
Lawson T Glasby,Peyman Z Moghadam
Lawson T Glasby
In recent years, machine learning (ML) has grown exponentially within the field of structure property predictions in materials science. In this issue of Patterns, Ahmed and Siegel scrutinize several redeveloped ML techniques for systematic ...
David Haslacher,Khaled Nasr,Surjo R Soekadar
David Haslacher
Implementation of effective brain or neural stimulation protocols for restoration of complex sensory perception, e.g., in the visual domain, is an unresolved challenge. By leveraging the capacity of deep learning to model the brain's visual...
The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems [0.03%]
分布式能源系统中公众接受度对其成本效率和环境可持续性的影响分析
Jann M Weinand,Russell McKenna,Max Kleinebrahm et al.
Jann M Weinand et al.
Local resistance often hinders renewable energy technology developments, especially for onshore wind. In decentralized energy systems, the landscape impact of wind turbines or transmission lines is a key barrier to public acceptance. By usi...